Model save
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README.md
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license: apache-2.0
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base_model: google/bigbird-roberta-base
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tags:
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- question-answering
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- nlp
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- generated_from_trainer
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model-index:
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- name: bert-qa-mash-covid
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# bert-qa-mash-covid
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This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on
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It achieves the following results on the evaluation set:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5694 | 1.0 | 657 | 1.0202 |
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| 1.0616 | 2.0 | 1314 | 0.9826 |
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| 0.9037 | 3.0 | 1971 | 0.9447 |
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### Framework versions
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license: apache-2.0
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base_model: google/bigbird-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-qa-mash-covid
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# bert-qa-mash-covid
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This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.0374
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- eval_runtime: 24.4457
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- eval_samples_per_second: 63.978
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- eval_steps_per_second: 4.009
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- epoch: 1.0
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- step: 657
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 50
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### Framework versions
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model.safetensors
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runs/Jun03_05-25-09_0b85b752ef0c/events.out.tfevents.1717392310.0b85b752ef0c.25.0
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training_args.bin
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